LoRa enabled Real-time Monitoring of Workers in Building Construction Site

Author:

Arun Kumar G S1,Singh Rajesh2,Gehlot Anita2,Akram Shaik Vaseem2

Affiliation:

1. LPU, Jalandhar, Punjab, India

2. UIT, Uttaranchal University, Dehradun, Uttarkhand, India

Abstract

In construction, the real-time monitoring of the worker is necessary for ensuring safety in terms of health and accidents. The technology advancement in the sensors and wireless communication technology has inspired to implement Internet of Things (IoT) real-time monitoring in construction site. With this motivation, in this study we have proposed a system that is powered with long range (LoRa) and IEEE 802.15.4 based Zigbee communication for real-time implementation. Worker health monitoring mote, helmet detection mote, shoe detection mote, and glove detection mote are the primary components of the proposed system. In addition to this, a local server is embedded to supervise all the primary components and interconnect with gateway to log the real-time data on the cloud server for real-time implementation. As proof of concept, one of primary component i.e., health monitoring mote is implemented in the construction site to measure temperature and pulse rate of the work. In future, the remain components will be implemented in construction site, for the implementation of complete system in real-time. The current study enables to monitor the worker in the construction site and assist to respond immediately in case of emergency.

Publisher

FOREX Publication

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Rate 5/6 TCM Code Having 64 States with 64 QAM for Fading Channel;International Journal of Electrical and Electronics Research;2024-04-30

2. Building Safer Work Environments for Hazard Detection in Construction Sites with IoT and Cloud Server;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12

3. IoT-Based ML Model to Sense Selection of Seed Crops in Changing Climatic Conditions of Punjab;Lecture Notes in Electrical Engineering;2024

4. BIM-based smart safety monitoring system using a mobile app: a case study in an ongoing construction site;Construction Innovation;2023-07-10

5. Precision Agriculture Using Internet of Things and Wireless Sensor Networks;2023 International Conference on Disruptive Technologies (ICDT);2023-05-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3